| Cluster based hierarchical resource searching model in P2P network |
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| 作者单位： | Yang Ruijuan（Inst. of Pattern Recognition and Artificial Intelligence, Huazhong Univ. of Science and Technology, Wuhan 430073, P. R. China;Information and Command Automation Dept., Air Force Radar Academy, Wuhan 430010, P. R. China） ;Liu Jian（Inst. of Pattern Recognition and Artificial Intelligence, Huazhong Univ. of Science and Technology, Wuhan 430073, P. R. China） ;Tian Jingwen（Inst. of Pattern Recognition and Artificial Intelligence, Huazhong Univ. of Science and Technology, Wuhan 430073, P. R. China） ; |
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| 摘 要： | For the problem of large network load generated by the Gnutella resource-searching model in Peer to Peer (P2P) network, a improved model to decrease the network expense is proposed, which establishes a cluster in P2P network, auto-organizes logical layers, and applies a hybrid mechanism of directional searching and flooding. The performance analysis and simulation results show that the proposed hierarchical searching model has availably reduced the generated message load and that its searching-response time performance is as fairly good as that of the Gnutella model.
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| 收稿时间： | 5 March 2006. |
Cluster based hierarchical resource searching model in P2P network |
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| Yang Ruijuan,Liu Jian,Tian Jingwen. Cluster based hierarchical resource searching model in P2P network[J]. Journal of Systems Engineering and Electronics, 2007, 18(1): 188-194. DOI: 10.1016/S1004-4132(07)60073-5 |
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| Authors: | Yang Ruijuan Liu Jian Tian Jingwen |
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| Affiliation: | 1. Inst. of Pattern Recognition and Artificial Intelligence, Huazhong Univ. of Science and Technology, Wuhan 430073, P. R. China;Information and Command Automation Dept., Air Force Radar Academy, Wuhan 430010, P. R. China
2. Inst. of Pattern Recognition and Artificial Intelligence, Huazhong Univ. of Science and Technology, Wuhan 430073, P. R. China |
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| Abstract: | For the problem of large network load generated by the Gnutella resource-searching model in Peer to Peer (P2P) network, a improved model to decrease the network expense is proposed, which establishes a cluster in P2P network, auto-organizes logical layers, and applies a hybrid mechanism of directional searching and flooding. The performance analysis and simulation results show that the proposed hierarchical searching model has availably reduced the generated message load and that its searching-response time performance is as fairly good as that of the Gnutella model. |
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| Keywords: | Communication and information system Resource-searching model in P2P network Gnutella Cluster Hierarchical network |
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